--- library_name: peft tags: - trl - sft - hf-llm-leaderboard - hf-llm-leaderboard - hf-llm-leaderboard - hf-llm-leaderboard - hf-llm-leaderboard - generated_from_trainer - hf-llm-leaderboard - hf-llm-leaderboard datasets: - gbharti/finance-alpaca base_model: NousResearch/Llama-2-7b-chat-hf model-index: - name: Finance Llama2 - Yash Chudasama results: [] --- # Finance Llama2 - Yash Chudasama This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on the Finance Alpaca dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0002 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.9.0 - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2